code: def __init__(
      self,
      value: float,
      args_dim: Dict[str, int],
      dtype: Type = np.float32,
      **kwargs,
  ) -> None:
      super().__init__(**kwargs)
      self.value = value
      self.args_dim = args_dim
      self.dtype = dtype
  
imports: from typing import Dict, List, Optional, Tuple, Type
  import mxnet
  import numpy
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .distribution import Distribution, _sample_multiple, getF
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 1 to create a new DeterministicArgProj object from inherited base classes: mx.gluon with example: obj = DeterministicArgProj(value, args_dim, dtype)